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Racing Suit with Speciosa 2.5D v1.0
Speciosa 2.5D:v1.0
sparks
sparks
·
Jul 8
14
Input
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, 1girl, medium full shot, curvy, medium breasts, racing suit with zipper, cleavage, round sunglasses on top of head, sexy, black hair, long hair, sexy, shiny skin, cameltoe
negative_prompt
Specify things to not see in the output
score_6, score_5, score_4, pony, gaping, censored, furry, chibi, 3d, photo, monochrome, elven ears, anime, multiple cocks, extra legs, extra hands, mutated legs, mutated hands, open mouth, closed eyes, big man, high man, muscular man, muscular hands, man thighs, man body
Pony_DetailV20
Pony Detail V20
1
EnvyAwesomizeXL01
Envy Awesomize Xl01
2
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.4
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
750700299
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
Euler a
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
3
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/622660ec0daa4795bf6db5031f6de26c/output-00789458d00448349cc8793041067962-00000-750700299.webp
https://files.tungsten.run/uploads/a1658757c21f4d748c7dca3c69be0d7c/output-380bf2aee3c8481caebbeeed558140e4-00001-750700300.webp
https://files.tungsten.run/uploads/199319948a6b4119a5d2cacb2c3069b2/output-39f9cf5f78d342e0a689e26b190bb82b-00002-750700301.webp
Finished in 90.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, 1girl, medium full shot, curvy, medium breasts, racing suit with zipper, cleavage, round sunglasses on top of head, sexy, black hair, long hair, sexy, shiny skin, cameltoe, <lora:EnvyAwesomizeXL01:2.0>, <lora:Pony_DetailV2.0:1.0> Full negative prompt: score_6, score_5, score_4, pony, gaping, censored, furry, chibi, 3d, photo, monochrome, elven ears, anime, multiple cocks, extra legs, extra hands, mutated legs, mutated hands, open mouth, closed eyes, big man, high man, muscular man, muscular hands, man thighs, man body 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:21, 1.67s/it] 4%|▍ | 2/50 [00:02<00:56, 1.19s/it] 6%|▌ | 3/50 [00:03<00:48, 1.03s/it] 8%|▊ | 4/50 [00:04<00:44, 1.04it/s] 10%|█ | 5/50 [00:05<00:41, 1.09it/s] 12%|█▏ | 6/50 [00:05<00:39, 1.12it/s] 14%|█▍ | 7/50 [00:06<00:37, 1.14it/s] 16%|█▌ | 8/50 [00:07<00:36, 1.15it/s] 18%|█▊ | 9/50 [00:08<00:35, 1.16it/s] 20%|██ | 10/50 [00:09<00:34, 1.16it/s] 22%|██▏ | 11/50 [00:10<00:33, 1.17it/s] 24%|██▍ | 12/50 [00:10<00:32, 1.17it/s] 26%|██▌ | 13/50 [00:11<00:31, 1.17it/s] 28%|██▊ | 14/50 [00:12<00:30, 1.17it/s] 30%|███ | 15/50 [00:13<00:29, 1.17it/s] 32%|███▏ | 16/50 [00:14<00:28, 1.17it/s] 34%|███▍ | 17/50 [00:15<00:28, 1.17it/s] 36%|███▌ | 18/50 [00:16<00:27, 1.18it/s] 38%|███▊ | 19/50 [00:16<00:26, 1.17it/s] 40%|████ | 20/50 [00:17<00:25, 1.17it/s] 42%|████▏ | 21/50 [00:18<00:24, 1.17it/s] 44%|████▍ | 22/50 [00:19<00:23, 1.17it/s] 46%|████▌ | 23/50 [00:20<00:23, 1.17it/s] 48%|████▊ | 24/50 [00:21<00:22, 1.17it/s] 50%|█████ | 25/50 [00:22<00:21, 1.17it/s] 52%|█████▏ | 26/50 [00:22<00:20, 1.17it/s] 54%|█████▍ | 27/50 [00:23<00:19, 1.17it/s] 56%|█████▌ | 28/50 [00:24<00:18, 1.17it/s] 58%|█████▊ | 29/50 [00:25<00:17, 1.17it/s] 60%|██████ | 30/50 [00:26<00:17, 1.17it/s] 62%|██████▏ | 31/50 [00:27<00:16, 1.17it/s] 64%|██████▍ | 32/50 [00:28<00:15, 1.17it/s] 66%|██████▌ | 33/50 [00:28<00:14, 1.17it/s] 68%|██████▊ | 34/50 [00:29<00:13, 1.17it/s] 70%|███████ | 35/50 [00:30<00:12, 1.17it/s] 72%|███████▏ | 36/50 [00:31<00:11, 1.17it/s] 74%|███████▍ | 37/50 [00:32<00:11, 1.17it/s] 76%|███████▌ | 38/50 [00:33<00:10, 1.17it/s] 78%|███████▊ | 39/50 [00:34<00:09, 1.17it/s] 80%|████████ | 40/50 [00:34<00:08, 1.17it/s] 82%|████████▏ | 41/50 [00:35<00:07, 1.17it/s] 84%|████████▍ | 42/50 [00:36<00:06, 1.17it/s] 86%|████████▌ | 43/50 [00:37<00:06, 1.17it/s] 88%|████████▊ | 44/50 [00:38<00:05, 1.17it/s] 90%|█████████ | 45/50 [00:39<00:04, 1.17it/s] 92%|█████████▏| 46/50 [00:40<00:03, 1.17it/s] 94%|█████████▍| 47/50 [00:40<00:02, 1.17it/s] 96%|█████████▌| 48/50 [00:41<00:01, 1.17it/s] 98%|█████████▊| 49/50 [00:42<00:00, 1.16it/s] 100%|██████████| 50/50 [00:43<00:00, 1.17it/s] 100%|██████████| 50/50 [00:43<00:00, 1.15it/s] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 124.9ms Speed: 2.0ms preprocess, 124.9ms inference, 18.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:12, 1.66it/s] 10%|▉ | 2/21 [00:01<00:10, 1.87it/s] 14%|█▍ | 3/21 [00:01<00:09, 1.94it/s] 19%|█▉ | 4/21 [00:02<00:08, 1.98it/s] 24%|██▍ | 5/21 [00:02<00:07, 2.00it/s] 29%|██▊ | 6/21 [00:03<00:07, 2.01it/s] 33%|███▎ | 7/21 [00:03<00:06, 2.01it/s] 38%|███▊ | 8/21 [00:04<00:06, 2.00it/s] 43%|████▎ | 9/21 [00:04<00:05, 2.00it/s] 48%|████▊ | 10/21 [00:05<00:05, 2.01it/s] 52%|█████▏ | 11/21 [00:05<00:04, 2.02it/s] 57%|█████▋ | 12/21 [00:06<00:04, 2.03it/s] 62%|██████▏ | 13/21 [00:06<00:03, 2.05it/s] 67%|██████▋ | 14/21 [00:06<00:03, 2.06it/s] 71%|███████▏ | 15/21 [00:07<00:02, 2.06it/s] 76%|███████▌ | 16/21 [00:07<00:02, 2.06it/s] 81%|████████ | 17/21 [00:08<00:01, 2.05it/s] 86%|████████▌ | 18/21 [00:08<00:01, 2.05it/s] 90%|█████████ | 19/21 [00:09<00:00, 2.06it/s] 95%|█████████▌| 20/21 [00:09<00:00, 2.07it/s] 100%|██████████| 21/21 [00:10<00:00, 2.09it/s] 100%|██████████| 21/21 [00:10<00:00, 2.03it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 6.1ms Speed: 1.8ms preprocess, 6.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.07it/s] 10%|▉ | 2/21 [00:00<00:09, 2.08it/s] 14%|█▍ | 3/21 [00:01<00:08, 2.09it/s] 19%|█▉ | 4/21 [00:01<00:08, 2.09it/s] 24%|██▍ | 5/21 [00:02<00:07, 2.09it/s] 29%|██▊ | 6/21 [00:02<00:07, 2.08it/s] 33%|███▎ | 7/21 [00:03<00:06, 2.09it/s] 38%|███▊ | 8/21 [00:03<00:06, 2.09it/s] 43%|████▎ | 9/21 [00:04<00:05, 2.09it/s] 48%|████▊ | 10/21 [00:04<00:05, 2.09it/s] 52%|█████▏ | 11/21 [00:05<00:04, 2.09it/s] 57%|█████▋ | 12/21 [00:05<00:04, 2.09it/s] 62%|██████▏ | 13/21 [00:06<00:03, 2.09it/s] 67%|██████▋ | 14/21 [00:06<00:03, 2.09it/s] 71%|███████▏ | 15/21 [00:07<00:02, 2.09it/s] 76%|███████▌ | 16/21 [00:07<00:02, 2.09it/s] 81%|████████ | 17/21 [00:08<00:01, 2.09it/s] 86%|████████▌ | 18/21 [00:08<00:01, 2.09it/s] 90%|█████████ | 19/21 [00:09<00:00, 2.09it/s] 95%|█████████▌| 20/21 [00:09<00:00, 2.10it/s] 100%|██████████| 21/21 [00:10<00:00, 2.10it/s] 100%|██████████| 21/21 [00:10<00:00, 2.09it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 6.2ms Speed: 1.8ms preprocess, 6.2ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.08it/s] 10%|▉ | 2/21 [00:00<00:09, 2.08it/s] 14%|█▍ | 3/21 [00:01<00:08, 2.09it/s] 19%|█▉ | 4/21 [00:01<00:08, 2.09it/s] 24%|██▍ | 5/21 [00:02<00:07, 2.09it/s] 29%|██▊ | 6/21 [00:02<00:07, 2.10it/s] 33%|███▎ | 7/21 [00:03<00:06, 2.10it/s] 38%|███▊ | 8/21 [00:03<00:06, 2.09it/s] 43%|████▎ | 9/21 [00:04<00:05, 2.09it/s] 48%|████▊ | 10/21 [00:04<00:05, 2.09it/s] 52%|█████▏ | 11/21 [00:05<00:04, 2.10it/s] 57%|█████▋ | 12/21 [00:05<00:04, 2.10it/s] 62%|██████▏ | 13/21 [00:06<00:03, 2.10it/s] 67%|██████▋ | 14/21 [00:06<00:03, 2.10it/s] 71%|███████▏ | 15/21 [00:07<00:02, 2.10it/s] 76%|███████▌ | 16/21 [00:07<00:02, 2.10it/s] 81%|████████ | 17/21 [00:08<00:01, 2.10it/s] 86%|████████▌ | 18/21 [00:08<00:01, 2.10it/s] 90%|█████████ | 19/21 [00:09<00:00, 2.09it/s] 95%|█████████▌| 20/21 [00:09<00:00, 2.09it/s] 100%|██████████| 21/21 [00:10<00:00, 2.09it/s] 100%|██████████| 21/21 [00:10<00:00, 2.09it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, 1girl, medium full shot, curvy, medium breasts, racing suit with zipper, cleavage, round sunglasses on top of head, sexy, black hair, long hair, sexy, shiny skin, cameltoe
negative_prompt
Specify things to not see in the output
score_6, score_5, score_4, pony, gaping, censored, furry, chibi, 3d, photo, monochrome, elven ears, anime, multiple cocks, extra legs, extra hands, mutated legs, mutated hands, open mouth, closed eyes, big man, high man, muscular man, muscular hands, man thighs, man body
Pony_DetailV20
Pony Detail V20
1
EnvyAwesomizeXL01
Envy Awesomize Xl01
2
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.4
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
750700299
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
Euler a
samping_steps
Number of denoising steps
50
cfg_scale
Scale for classifier-free guidance
3
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/622660ec0daa4795bf6db5031f6de26c/output-00789458d00448349cc8793041067962-00000-750700299.webp
https://files.tungsten.run/uploads/a1658757c21f4d748c7dca3c69be0d7c/output-380bf2aee3c8481caebbeeed558140e4-00001-750700300.webp
https://files.tungsten.run/uploads/199319948a6b4119a5d2cacb2c3069b2/output-39f9cf5f78d342e0a689e26b190bb82b-00002-750700301.webp
Finished in 90.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, 1girl, medium full shot, curvy, medium breasts, racing suit with zipper, cleavage, round sunglasses on top of head, sexy, black hair, long hair, sexy, shiny skin, cameltoe, <lora:EnvyAwesomizeXL01:2.0>, <lora:Pony_DetailV2.0:1.0> Full negative prompt: score_6, score_5, score_4, pony, gaping, censored, furry, chibi, 3d, photo, monochrome, elven ears, anime, multiple cocks, extra legs, extra hands, mutated legs, mutated hands, open mouth, closed eyes, big man, high man, muscular man, muscular hands, man thighs, man body 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:21, 1.67s/it] 4%|▍ | 2/50 [00:02<00:56, 1.19s/it] 6%|▌ | 3/50 [00:03<00:48, 1.03s/it] 8%|▊ | 4/50 [00:04<00:44, 1.04it/s] 10%|█ | 5/50 [00:05<00:41, 1.09it/s] 12%|█▏ | 6/50 [00:05<00:39, 1.12it/s] 14%|█▍ | 7/50 [00:06<00:37, 1.14it/s] 16%|█▌ | 8/50 [00:07<00:36, 1.15it/s] 18%|█▊ | 9/50 [00:08<00:35, 1.16it/s] 20%|██ | 10/50 [00:09<00:34, 1.16it/s] 22%|██▏ | 11/50 [00:10<00:33, 1.17it/s] 24%|██▍ | 12/50 [00:10<00:32, 1.17it/s] 26%|██▌ | 13/50 [00:11<00:31, 1.17it/s] 28%|██▊ | 14/50 [00:12<00:30, 1.17it/s] 30%|███ | 15/50 [00:13<00:29, 1.17it/s] 32%|███▏ | 16/50 [00:14<00:28, 1.17it/s] 34%|███▍ | 17/50 [00:15<00:28, 1.17it/s] 36%|███▌ | 18/50 [00:16<00:27, 1.18it/s] 38%|███▊ | 19/50 [00:16<00:26, 1.17it/s] 40%|████ | 20/50 [00:17<00:25, 1.17it/s] 42%|████▏ | 21/50 [00:18<00:24, 1.17it/s] 44%|████▍ | 22/50 [00:19<00:23, 1.17it/s] 46%|████▌ | 23/50 [00:20<00:23, 1.17it/s] 48%|████▊ | 24/50 [00:21<00:22, 1.17it/s] 50%|█████ | 25/50 [00:22<00:21, 1.17it/s] 52%|█████▏ | 26/50 [00:22<00:20, 1.17it/s] 54%|█████▍ | 27/50 [00:23<00:19, 1.17it/s] 56%|█████▌ | 28/50 [00:24<00:18, 1.17it/s] 58%|█████▊ | 29/50 [00:25<00:17, 1.17it/s] 60%|██████ | 30/50 [00:26<00:17, 1.17it/s] 62%|██████▏ | 31/50 [00:27<00:16, 1.17it/s] 64%|██████▍ | 32/50 [00:28<00:15, 1.17it/s] 66%|██████▌ | 33/50 [00:28<00:14, 1.17it/s] 68%|██████▊ | 34/50 [00:29<00:13, 1.17it/s] 70%|███████ | 35/50 [00:30<00:12, 1.17it/s] 72%|███████▏ | 36/50 [00:31<00:11, 1.17it/s] 74%|███████▍ | 37/50 [00:32<00:11, 1.17it/s] 76%|███████▌ | 38/50 [00:33<00:10, 1.17it/s] 78%|███████▊ | 39/50 [00:34<00:09, 1.17it/s] 80%|████████ | 40/50 [00:34<00:08, 1.17it/s] 82%|████████▏ | 41/50 [00:35<00:07, 1.17it/s] 84%|████████▍ | 42/50 [00:36<00:06, 1.17it/s] 86%|████████▌ | 43/50 [00:37<00:06, 1.17it/s] 88%|████████▊ | 44/50 [00:38<00:05, 1.17it/s] 90%|█████████ | 45/50 [00:39<00:04, 1.17it/s] 92%|█████████▏| 46/50 [00:40<00:03, 1.17it/s] 94%|█████████▍| 47/50 [00:40<00:02, 1.17it/s] 96%|█████████▌| 48/50 [00:41<00:01, 1.17it/s] 98%|█████████▊| 49/50 [00:42<00:00, 1.16it/s] 100%|██████████| 50/50 [00:43<00:00, 1.17it/s] 100%|██████████| 50/50 [00:43<00:00, 1.15it/s] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 124.9ms Speed: 2.0ms preprocess, 124.9ms inference, 18.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:12, 1.66it/s] 10%|▉ | 2/21 [00:01<00:10, 1.87it/s] 14%|█▍ | 3/21 [00:01<00:09, 1.94it/s] 19%|█▉ | 4/21 [00:02<00:08, 1.98it/s] 24%|██▍ | 5/21 [00:02<00:07, 2.00it/s] 29%|██▊ | 6/21 [00:03<00:07, 2.01it/s] 33%|███▎ | 7/21 [00:03<00:06, 2.01it/s] 38%|███▊ | 8/21 [00:04<00:06, 2.00it/s] 43%|████▎ | 9/21 [00:04<00:05, 2.00it/s] 48%|████▊ | 10/21 [00:05<00:05, 2.01it/s] 52%|█████▏ | 11/21 [00:05<00:04, 2.02it/s] 57%|█████▋ | 12/21 [00:06<00:04, 2.03it/s] 62%|██████▏ | 13/21 [00:06<00:03, 2.05it/s] 67%|██████▋ | 14/21 [00:06<00:03, 2.06it/s] 71%|███████▏ | 15/21 [00:07<00:02, 2.06it/s] 76%|███████▌ | 16/21 [00:07<00:02, 2.06it/s] 81%|████████ | 17/21 [00:08<00:01, 2.05it/s] 86%|████████▌ | 18/21 [00:08<00:01, 2.05it/s] 90%|█████████ | 19/21 [00:09<00:00, 2.06it/s] 95%|█████████▌| 20/21 [00:09<00:00, 2.07it/s] 100%|██████████| 21/21 [00:10<00:00, 2.09it/s] 100%|██████████| 21/21 [00:10<00:00, 2.03it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 6.1ms Speed: 1.8ms preprocess, 6.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.07it/s] 10%|▉ | 2/21 [00:00<00:09, 2.08it/s] 14%|█▍ | 3/21 [00:01<00:08, 2.09it/s] 19%|█▉ | 4/21 [00:01<00:08, 2.09it/s] 24%|██▍ | 5/21 [00:02<00:07, 2.09it/s] 29%|██▊ | 6/21 [00:02<00:07, 2.08it/s] 33%|███▎ | 7/21 [00:03<00:06, 2.09it/s] 38%|███▊ | 8/21 [00:03<00:06, 2.09it/s] 43%|████▎ | 9/21 [00:04<00:05, 2.09it/s] 48%|████▊ | 10/21 [00:04<00:05, 2.09it/s] 52%|█████▏ | 11/21 [00:05<00:04, 2.09it/s] 57%|█████▋ | 12/21 [00:05<00:04, 2.09it/s] 62%|██████▏ | 13/21 [00:06<00:03, 2.09it/s] 67%|██████▋ | 14/21 [00:06<00:03, 2.09it/s] 71%|███████▏ | 15/21 [00:07<00:02, 2.09it/s] 76%|███████▌ | 16/21 [00:07<00:02, 2.09it/s] 81%|████████ | 17/21 [00:08<00:01, 2.09it/s] 86%|████████▌ | 18/21 [00:08<00:01, 2.09it/s] 90%|█████████ | 19/21 [00:09<00:00, 2.09it/s] 95%|█████████▌| 20/21 [00:09<00:00, 2.10it/s] 100%|██████████| 21/21 [00:10<00:00, 2.10it/s] 100%|██████████| 21/21 [00:10<00:00, 2.09it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 6.2ms Speed: 1.8ms preprocess, 6.2ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/21 [00:00<?, ?it/s] 5%|▍ | 1/21 [00:00<00:09, 2.08it/s] 10%|▉ | 2/21 [00:00<00:09, 2.08it/s] 14%|█▍ | 3/21 [00:01<00:08, 2.09it/s] 19%|█▉ | 4/21 [00:01<00:08, 2.09it/s] 24%|██▍ | 5/21 [00:02<00:07, 2.09it/s] 29%|██▊ | 6/21 [00:02<00:07, 2.10it/s] 33%|███▎ | 7/21 [00:03<00:06, 2.10it/s] 38%|███▊ | 8/21 [00:03<00:06, 2.09it/s] 43%|████▎ | 9/21 [00:04<00:05, 2.09it/s] 48%|████▊ | 10/21 [00:04<00:05, 2.09it/s] 52%|█████▏ | 11/21 [00:05<00:04, 2.10it/s] 57%|█████▋ | 12/21 [00:05<00:04, 2.10it/s] 62%|██████▏ | 13/21 [00:06<00:03, 2.10it/s] 67%|██████▋ | 14/21 [00:06<00:03, 2.10it/s] 71%|███████▏ | 15/21 [00:07<00:02, 2.10it/s] 76%|███████▌ | 16/21 [00:07<00:02, 2.10it/s] 81%|████████ | 17/21 [00:08<00:01, 2.10it/s] 86%|████████▌ | 18/21 [00:08<00:01, 2.10it/s] 90%|█████████ | 19/21 [00:09<00:00, 2.09it/s] 95%|█████████▌| 20/21 [00:09<00:00, 2.09it/s] 100%|██████████| 21/21 [00:10<00:00, 2.09it/s] 100%|██████████| 21/21 [00:10<00:00, 2.09it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s Uploading files.. Finished.